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Ge Zheng
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2020 – today
- 2025
- [j13]Luning Li, Manuel Herrera, Anandarup Mukherjee, Ge Zheng, Chen Chen, Maharshi Harshadbhai Dhada, Henry Brice, Arjun Parekh, Ajith Kumar Parlikad:
Predictive alarm models for improving radio access network robustness. Expert Syst. Appl. 259: 125312 (2025) - 2024
- [j12]Assemgul Kozhabek, Wei Koong Chai, Ge Zheng:
Modeling Traffic Congestion Spreading Using a Topology-Based SIR Epidemic Model. IEEE Access 12: 35813-35826 (2024) - [j11]Alexandra Brintrup, Edward Elson Kosasih, Philipp Schaffer, Ge Zheng, Güven Demirel, Bart L. MacCarthy:
Digital supply chain surveillance using artificial intelligence: definitions, opportunities and risks. Int. J. Prod. Res. 62(13): 4674-4695 (2024) - [j10]Ge Zheng, Yong Yan, Lijuan Wang, Yonghui Hu, Xingxing Zeng:
Concurrent Measurement of the Size Distribution and Velocity of Pneumatically Conveyed Biomass Solids Using Acoustic Emission and Electrostatic Sensors. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j9]Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang:
Cross-Edge Orchestration of Serverless Functions With Probabilistic Caching. IEEE Trans. Serv. Comput. 17(5): 2139-2150 (2024) - [c13]Zhenxiang Lin, Xidong Peng, Peishan Cong, Ge Zheng, Yujing Sun, Yuenan Hou, Xinge Zhu, Sibei Yang, Yuexin Ma:
WildRefer: 3D Object Localization in Large-Scale Dynamic Scenes with Multi-modal Visual Data and Natural Language. ECCV (46) 2024: 456-473 - 2023
- [j8]Ge Zheng, Lingxuan Kong, Alexandra Brintrup:
Federated machine learning for privacy preserving, collective supply chain risk prediction. Int. J. Prod. Res. 61(23): 8115-8132 (2023) - [j7]Ge Zheng, Wei Koong Chai, Jing-Lin Duanmu, Vasilis Katos:
Hybrid deep learning models for traffic prediction in large-scale road networks. Inf. Fusion 92: 93-114 (2023) - [j6]Ge Zheng, Wei Koong Chai, Jiankang Zhang, Vasilis Katos:
VDGCNeT: A novel network-wide Virtual Dynamic Graph Convolution Neural network and Transformer-based traffic prediction model. Knowl. Based Syst. 275: 110676 (2023) - [j5]Yan Wang, Xin Wang, Hongmei Yang, Yingrui Geng, Hongnian Yu, Ge Zheng, Liang Liao:
MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c12]Liqiao Xia, Pai Zheng, Yongshi Liang, Ge Zheng, Zhengyang Ling:
Secure Co-Creation of Industrial Knowledge Graph: Graph Complement Method with Federated Learning and ChatGPT. CASE 2023: 1-6 - [c11]Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang:
Contrastive Grouping with Transformer for Referring Image Segmentation. CVPR 2023: 23570-23580 - [c10]Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang:
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. ICCV 2023: 3045-3055 - [c9]Jiajin Tang, Ge Zheng, Sibei Yang:
Temporal Collection and Distribution for Referring Video Object Segmentation. ICCV 2023: 15420-15430 - [c8]Hongxi Chen, Ge Zheng, Rongting Zhang, Maomiao Lü:
Spatio-Temporal Evolution Characteristics and Driving Mechanism of Gazelle Enterprises: a Case Study on Jiangsu Province, China. IGARSS 2023: 2500-2503 - [c7]Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang:
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. NeurIPS 2023 - [i5]Jiajin Tang, Ge Zheng, Cheng Shi, Sibei Yang:
Contrastive Grouping with Transformer for Referring Image Segmentation. CoRR abs/2309.01017 (2023) - [i4]Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang:
CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. CoRR abs/2309.01093 (2023) - [i3]Jiajin Tang, Ge Zheng, Sibei Yang:
Temporal Collection and Distribution for Referring Video Object Segmentation. CoRR abs/2309.03473 (2023) - [i2]Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang:
Cross-Edge Orchestration of Serverless Functions with Probabilistic Caching. CoRR abs/2310.04185 (2023) - [i1]Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang:
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models. CoRR abs/2310.16436 (2023) - 2022
- [j4]Ge Zheng, Wei Koong Chai, Vasilis Katos:
A dynamic spatial-temporal deep learning framework for traffic speed prediction on large-scale road networks. Expert Syst. Appl. 195: 116585 (2022) - 2021
- [j3]Ge Zheng, Wei Koong Chai, Vasilis Katos, Michael Walton:
A joint temporal-spatial ensemble model for short-term traffic prediction. Neurocomputing 457: 26-39 (2021) - [j2]Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang:
Online Measurement of the Size Distribution of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Triboelectric Sensing. IEEE Trans. Instrum. Meas. 70: 1-17 (2021) - [j1]Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang, Long Yang, Lanqi Li:
Mass-Flow-Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [c6]Ge Zheng, Wei Koong Chai, Vasilis Katos:
The Sequence-to-Sequence Architecture with An Embedded Module for Long-Term Traffic Speed Forecasting with Missing Data. ICAC 2021: 1-6 - 2020
- [c5]Ge Zheng, Yong Yan, Yonghui Hu, Wenbiao Zhang, Long Yang, Lanqi Li:
Mass Flow Rate Measurement of Pneumatically Conveyed Particles Through Acoustic Emission Detection and Electrostatic Sensing. I2MTC 2020: 1-5
2010 – 2019
- 2019
- [c4]Ge Zheng, Yang Peng:
GlobalFlow: A Cross-Region Orchestration Service for Serverless Computing Services. CLOUD 2019: 508-510 - [c3]Michael Walton, John Woods, Ge Zheng:
Efficient charging for batteryless solutions in energy harvesting. CEEC 2019: 7-11 - [c2]Ge Zheng, Wei Koong Chai, Vasilis Katos:
An Ensemble Model for Short-Term Traffic Prediction in Smart City Transportation System. GLOBECOM 2019: 1-6 - [c1]Ge Zheng, Hongtao Zhang, Keming Zhou, Huosheng Hu:
Using Machine Learning Techniques to Optimize Fall Detection Algorithms in Smart Wristband. ICAC 2019: 1-6
Coauthor Index
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